10 results.

• SVM Optimization with Correlation Feature Selection Based Binary Particle Swarm Optimization for Diagnosis of Chronic Kidney Disease Download
  Doni Aprilianto
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Data mining has been widely used to diagnose diseases from medical data. In this study using chronic kidney disease dataset taken from UCI Machine Learning. The dataset has 25 attributes with 400 samp...
• Electrical Energy Monitoring System and Automatic Transfer Switch (ATS) Controller with the Internet of Things for Solar Power Plants Download
  Novi Kurniawan
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Internet of Things is a technology that connects communication devices with electronic devices that are used everyday using the internet as a medium to communicate between devices and users. The use o...
• Support Vector Machine (SVM) Optimization Using Grid Search and Unigram to Improve E-Commerce Review Accuracy Download
  Sulistiana Sulistiana • Much Aziz Muslim
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Electronic Commerce (E-Commerce) is distributing, buying, selling, and marketing goods and services over electronic systems such as the Internet, television, websites, and other computer networks. E-c...
• Optimization of Naïve Bayes Classifier by Implemented Unigram, Bigram, Trigram for Sentiment Analysis of Hotel Review Download
  Ilham Esa Tiffani
  description Journal article public Journal of Soft Computing Exploration • September 2020
  The information needed in its development requires that proper analysis can provide support in making decisions. Sentiment analysis is a data processing technique that can be completed properly. To ma...
• Improved Accuracy of Naive Bayes Classifier for Determination of Customer Churn Uses SMOTE and Genetic Algorithms Download
  Afifah Ratna Safitri • Much Aziz Muslim
  description Journal article public Journal of Soft Computing Exploration • September 2020
  With increasing competition in the business world, many companies use data mining  techniques to determine the level of customer loyalty. The customer data used in this  study is the german ...
• Increasing Accuracy of C4.5 Algorithm Using Information Gain Ratio and Adaboost for Classification of Chronic Kidney Disease Download
  Aprilia Lestari • Alamsyah Alamsyah
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Data information that has been available is very much and will require a very long time to  process large amounts of information data. Therefore, data mining is used to process large  amount...
• Improving Algorithm Accuracy K-Nearest Neighbor Using Z-Score Normalization and Particle Swarm Optimization to Predict Customer Churn Download
  Muhammad Ali Imron • Budi Prasetyo
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Due to increased competition in the business world, many companies use data mining techniques to determine the loyalty level of customers. In this business, data mining can be used to determine the lo...
• The Implementation of Z-Score Normalization and Boosting Techniques to Increase Accuracy of C4.5 Algorithm in Diagnosing Chronic Kidney Disease Download
  Hestu Aji Prihanditya • Alamsyah Alamsyah
  description Journal article public Journal of Soft Computing Exploration • September 2020
  In the health sector, data mining can be used as a recommendation to predict a disease from the  collection of patient medical record data or health data. One of the techniques can be applied is&...
• Improve the Accuracy of C4.5 Algorithm Using Particle Swarm Optimization (PSO) Feature Selection and Bagging Technique in Breast Cancer Diagnosis Download
  Raka Hendra Saputra • Budi Prasetyo
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Breast cancer is the second leading cause of death due to cancer in women currently. It has become the most common cancer in recent years. In early detection of cancer, data mining can be used to diag...
• Data Security System of Text Messaging Based on Android Mobile Devices Using Advanced Encrytion Standard Dynamic S-BOX Download
  Akhmad Sahal Mabruri • Alamsyah Alamsyah
  description Journal article public Journal of Soft Computing Exploration • September 2020
  Most of the recent technologies are turning to mobile platforms, Android becames one of the most widely used OS. Eventhough it has complete features, even it's not safe enough such like Chat Messenger...